课程通常包含N-grams and Language Models, Markov Models, Tokenization, POS Tagging,
Named Entity Recognition (NER), Sentiment Analysis, Word2vec, Document Clustering,
Document Clustering和RNN等深度学习模型.
Table of Contents • Report • In this project, you will develop a sentiment analysis tool using Python, then apply this tool to analyze text from a selection of curated datasets. The goal is to gain insights into the overall sentiment expressed within these texts and discuss your findings. You are also encouraged to extend …
Reflections on last week MapReduce: parallelism framework, divide and conquer • Map: the divide step • Reduce: the aggregate step • Reason: we need to use multiple machines to speed up Frequent itemset mining problem • Association patterns • Two products, two movies, two medicines, etc. Achieved frequent singleton itemset mining in lab3 Minghong Xu, …
assignment2 Assignment 2: Recurrent neural networks¶ Due: by 11:59pm, Wednesday 6/7¶ Note: late submissions are accepted up to 5 days after the deadline for this assignment. You will receive 4 free late days to use between the two assignments of the course; once you exhaust those late days, each (partial) day that a submission is …
NLP tweets In this homework, you’ll be working with a collection of tweets. The task is to predict the geolocation (country) where the tweet comes from. This homework involves writing code to preprocess data and perform text classification. Preprocessing (4 marks)¶ Instructions: Download the data (as1-data.json) from Canvas and put it in the same directory …
COMP 10261: Statistical FAQ Bot Project Sam Scott, Mohawk College, March 2023 OVERVIEW: AN FAQ BOT POWERED BY STATISTICAL NLP For this project, you will use document vectors, text classification, and other tools either to rebuild your existing FAQ Bot Plus or to create a new chat bot for a different purpose. The rest of …
Alistair receives a text message from his friend Beatrice, who is very excited because she has received word of a happy event. She texts: i talked to my dad’s second cousin in toronto on good friday and he was just good newsed! Consider each of the following linguistic concepts. For each one, briefly explain what …
COMP 4446 5046 Lab02 PyTorch is an open source machine learning library used for applications such as natural language processing and computer vision. It is based on the Torch library. Before we use Pytorch it is neccessary to understand what Pytorch is. Let’s start from the core concepts: Tensor, (Computational) Graph and Automatic Differentiation A …
Natural Language Processing Assignment 1 Instructions 1. Due at 3 pm, February 13, 2023; 2. You can submit your answers by a single PDF with the code package or a single Jupiter notebook containing both the answers and the code; 3. For the coding questions, besides the code, you are encouraged to additionally give some …